Neural networks for localized atmospheric density forecasting

Version 1.5.0.0 (111 KB) by David Perez
Neural networks for forecasting atmospheric density along the orbit of the CHAMP satellite
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Updated 12 Feb 2014

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The following cases are presented

1.Predicting one orbit into the future
1.1 Neural network trained with data from day 140 2001 to day 14 2002.
1.2 Neural network trained with data from day 140 2001 to day 14 2002, that uses as additional inputs Dst and F10.7

2.Predicting 8 orbits into the future
2.1 Neural network trained with data from year 2002 that uses as additional inputs Dst and F10.7

3.Predicting 32 orbits into the future
3.1 Neural network trained with data from year 2002 that uses as additional inputs Dst and F10.7

The Neural Networks were part of the results presented in:

http://riccardobevilacqua.com/PerWhoLovShoBev_publishedACTA2014.pdf

The Neural Networks were developed at the ADAMUS Lab at RPI and at Los Alamos National Lab

Cite As

David Perez (2024). Neural networks for localized atmospheric density forecasting (https://www.mathworks.com/matlabcentral/fileexchange/45193-neural-networks-for-localized-atmospheric-density-forecasting), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2013a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.5.0.0

Added link to a publication explaining the detail on the Neural Networks
1.3.0.0

Added contents file and additional networks
1.0.0.0